Ghulam Mujtaba
Assistant Professor | IEEE Senior Member
I bring a rich blend of academic and industrial experience to the computer vision and deep learning domain. I am a senior member of IEEE. My educational journey began with a Ph.D. in Computer Engineering from Gachon Universityin Seoul, South Korea, where I focused on personalized multimedia generation for resource-constrained devices at the Multimedia Computing Systems Laboratory (MCSLab) under the guidance of Prof. Eun-Seok Ryu. I further honed my skills with a Master of Science in Computer Science from Indus University and a Bachelor of Science in Computer Science from COMSATS Institute of Information Technology in Pakistan. As a specialized computer vision researcher, I excel in utilizing deep learning techniques for visual analysis, multimedia retrieval, and image processing. I am dedicated to advancing computer vision and deep learning in academic and industrial settings.
Education
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2018.03 - 2021.08 Seongnam, South Korea
Doctor of Philosophy
Gachon University
Engineering
- Lightweight Client-driven Personalized Multimedia Framework for Next Generation Streaming Platforms
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2014.07 - 2016.06 Karachi, Pakistan
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2009.09 - 2013.07 Lahore, Pakistan
Work
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2023.08 - Present Denver, CO, USA
Assistant Professor
Regis University
Joined asd tenure-track Assistant Professor in Anderson College of Business and Computing
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2023.04 - 2024.06 Morgantown, WV, USA
Postdoctoral Researcher
West Virginia University
Conducted cutting-edge research on deep-learning models for analyzing medical multimodality data and explored advancements like ChatGPT, Generative AI, and Large Language Models (LLMs).
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2022.03 - 2023.03 Seoul, South Korea
Research Engineer
C-JeS Gulliver Studio
Applied deep learning techniques to enhance realism for digital-human characters in Metaverse applications and innovated efficient 2D to 3D conversion methods.
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2021.10 - 2022.02 Seoul, South Korea
Senior Researcher
DeltaX
Developed advanced deep learning techniques for XVision Technology Advancement, focusing on violence detection and content moderation in videos and images.
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2019.09 - 2021.09 Seoul, South Korea
Visiting Researcher
Sungkyunkwan University
Pioneered thumbnail-based video analysis for streaming platforms and collaborated on developing algorithms for multiview video surveillance summarization.